Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study

PREDICTOM will develop AI-driven algorithms for the early detection of AD using biomarkers that can be collected at home or in the community care setting, and evaluate their integration into a well-defined and comprehensive clinical pathway.

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Publication Details

Journal
The Journal of Prevention of Alzheimer s Disease
Published
2026-03-26
DOI
https://doi.org/10.1016/j.tjpad.2026.100545
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study

Lukas Paletta, Tamás Letoha, Margarita Grammatikopoulou, Lee Honigberg et al.
The Journal of Prevention of Alzheimer s Disease
Artificial Intelligence in Healthcare and Education
article

Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study

Lukas Paletta, Tamás Letoha, Margarita Grammatikopoulou, Lee Honigberg, Kostas Georgiadis, Johanna Gracia Mitterreiter, Martin Pszeida, Paulina Tegethoff, Claire Braboszcz, Sara De Witte, Anett Hudák, Sandeep Kaushik, Dianne Gove, Federica Cacciamani, Holger Fröhlich, Nuno Pedrosa de Barros, Silvia Russegger, Sarah Campill, Timo Schirmer, Gaby Marquardt, Ioulietta Lazarou, Ana Beatriz Solana, Annemie Ribbens, Matthias Müllenborn, Jon Arild Aakre, S. Brandt, Ellie Pickering, María Beser-Robles, Miguel Baquero, Zunera Khan, Laura FERRÉ-GONZÁLEZ, Mark van der Giezen, Pushkar Deshpande, Audun Osland Vik-Mo, Anne Corbett, Augusto J. Mendes, Sebastiaan Engelborghs, Robert Perneczky, Giovani B. Frisoni, Dag Aarsland, Spiros Nikolopoulos, Stanley Durrleman, Anna-Katharine Brem, Boris-Stephan Rauchmann, Ana Diaz, Jonas Radermacher, Hossein Rostamipour, Martha Therese Gjestsen, James Brown, Aureli Soria-Frisch, Bin Huang, Christopher Collins, Amied Shadmaan, Nicholas J. Ashton
article en

Abstract

PREDICTOM will develop AI-driven algorithms for the early detection of AD using biomarkers that can be collected at home or in the community care setting, and evaluate their integration into a well-defined and comprehensive clinical pathway.

The Journal of Prevention of Alzheimer s DiseaseVol. 13(5)
University of Geneva (CH), Centre National de la Recherche Scientifique (FR), Siemens (Germany) (DE), Joanneum Research (AT), Inserm (FR), Wellcome Centre for Human Neuroimaging (GB), King's College London (GB), Novo Nordisk (Denmark) (DK), General Electric (Spain) (ES), University of Exeter (GB), Université Paris Sciences et Lettres (FR), Stavanger University Hospital (NO), Banner Health (US), École Normale Supérieure - PSL (FR), LMU Klinikum (DE), Sorbonne Université (FR), Information Technologies Institute (GR), Assistance Publique – Hôpitaux de Paris (FR), Fraunhofer Institute for Algorithms and Scientific Computing (DE), University Hospital of Geneva (CH), Structural Analytics (United States) (US), Munich Cluster for Systems Neurology (DE), Institut de Myologie (FR), Maudsley Hospital (GB), Universitair Ziekenhuis Brussel (BE), Starlab Barcelona SLU (Spain) (ES), Computer Aids for Chemical Engineering (US), Banner Sun Health Research Institute (US), Siemens Healthineers (Germany) (DE), GN Store Nord (Denmark) (DK), Institut Mondor de Recherche Biomédicale (FR), Ipswich Hospital (GB), Icometrix (Belgium) (BE), Bonn Aachen International Center for Information Technology (DE), Instituto de Investigación Sanitaria La Fe (ES), Geneva College (US), Alzheimer Europe (LU), Ludwig-Maximilians-Universität München (DE), Hologic (Germany) (DE), University of Stavanger (NO)
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
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